Distinct profiles of violence victimization and suicide risk

Findings from a national survey of emerging adults

Bibliographic Data

ID9053530
AuthorsLisa Fedina (0000-0003-4398-5009, University of Michigan), Cheryl A King (0000-0002-9903-6278, University of Michigan), Cheryl King, Jordan Devylder (0000-0001-5873-4582, Fordham University), Todd I Herrenkohl (0000-0002-7001-1544, University of Michigan)
Year2023
Volume93
Issue3
Pages245-255
Publication date2023-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Orthopsychiatry (JOURNAL)
Journal identifiersISSN: 0002-9432 • E-ISSN: 1939-0025
PublisherAmerican Psychological Association (APA) (PUBLISHER)
DOI10.1037/ort0000675
PMID36972081
OpenAlexW4361001177
LanguageEN
Citations received3

1,077). A total of 50.2% of participants identified as cisgender female, followed by 47.4% cisgender male, and 2.3% transgender or nonbinary. Latent class analysis (LCA) was used to establish profiles. Suicide-related variables were regressed onto victimization profiles. A four-class solution was determined to be the best fitting model: Interpersonal Violence (IV; 22%), Interpersonal + Structural Violence (I + STV; 7%), Emotional Victimization (EV; 28%), and Low/No Victimization (LV; 43%). Participants in I + STV had increased odds for high suicide risk (odds ratio = 42.05, 95% CI [15.45, 114.42]) compared to those in LV, followed by IV (odds ratio = 8.52, 95% CI [3.47, 20.94]) and EV (odds ratio = 5.17, 95% CI [2.08, 12.87]). Participants in I + STV reported significantly higher odds for nonsuicidal self-injury and suicide attempts compared to most classes. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Injury prevention · Latent class model · Logistic regression · Medical emergency · Occupational safety and health · Odds · Odds ratio · Poison control · Psychiatry · Suicide prevention · Clinical Psychology · Demography · Human Factors and Ergonomics · Internal Medicine · Medicine · Psychology · Suicide and Self-Harm Studies

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